Solution
By default, all new solutions use automatic training. With automatic training, you incur training costs while your solution is active. To avoid unnecessary costs, when you are finished you can update the solution to turn off automatic training. For information about training costs, see Amazon Personalize pricing.
An object that provides information about a solution. A solution includes the custom recipe, customized parameters, and trained models (Solution Versions) that Amazon Personalize uses to generate recommendations.
After you create a solution, you can’t change its configuration. If you need to make changes, you can clone the solution with the Amazon Personalize console or create a new one.
Types
Properties
When performAutoML is true, specifies the best recipe found.
The creation date and time (in Unix time) of the solution.
The Amazon Resource Name (ARN) of the dataset group that provides the training data.
The date and time (in Unix time) that the solution was last updated.
Provides a summary of the latest updates to the solution.
Describes the latest version of the solution, including the status and the ARN.
We don't recommend enabling automated machine learning. Instead, match your use case to the available Amazon Personalize recipes. For more information, see Determining your use case.
Specifies whether the solution automatically creates solution versions. The default is True and the solution automatically creates new solution versions every 7 days.
Whether to perform hyperparameter optimization (HPO) on the chosen recipe. The default is false.
The ARN of the solution.
Describes the configuration properties for the solution.